A cost-effective framework for drinking groundwater quality prediction based on explainable artificial intelligence

Hongji Wang, Yixuan Su, Yuxin Fu, Qirun Huang, Zhihao He

Open source

DOI
10.1016/j.ecoenv.2026.120965
Published
2026-11
Container
Ecotoxicology and Environmental Safety
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ecoenv.2026.120965,
  title = {A cost-effective framework for drinking groundwater quality prediction based on explainable artificial intelligence},
  author = {Hongji Wang and Yixuan Su and Yuxin Fu and Qirun Huang and Zhihao He},
  year = {2026},
  journal = {Ecotoxicology and Environmental Safety},
  doi = {10.1016/j.ecoenv.2026.120965},
  url = {https://doi.org/10.1016/j.ecoenv.2026.120965}
}

RIS

TY  - JOUR
TI  - A cost-effective framework for drinking groundwater quality prediction based on explainable artificial intelligence
AU  - Hongji Wang
AU  - Yixuan Su
AU  - Yuxin Fu
AU  - Qirun Huang
AU  - Zhihao He
PY  - 2026
JO  - Ecotoxicology and Environmental Safety
DO  - 10.1016/j.ecoenv.2026.120965
UR  - https://doi.org/10.1016/j.ecoenv.2026.120965
ER  - 

APA

Wang, H., Su, Y., Fu, Y., Huang, Q., & He, Z. (2026). A cost-effective framework for drinking groundwater quality prediction based on explainable artificial intelligence. Ecotoxicology and Environmental Safety. https://doi.org/10.1016/j.ecoenv.2026.120965

Source records